Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron

16 October 2018

Papers citing "Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron"

6 / 56 papers shown

Title
Better Theory for SGD in the Nonconvex World Ahmed Khaled Peter Richtárik 11 178 0 09 Feb 2020
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning Aritra Dutta El Houcine Bergou A. Abdelmoniem Chen-Yu Ho Atal Narayan Sahu Marco Canini Panos Kalnis 25 76 0 19 Nov 2019
Linear Lower Bounds and Conditioning of Differentiable Games Adam Ibrahim Waïss Azizian Gauthier Gidel Ioannis Mitliagkas 23 10 0 17 Jun 2019
Reducing the variance in online optimization by transporting past gradients Sébastien M. R. Arnold Pierre-Antoine Manzagol Reza Babanezhad Ioannis Mitliagkas Nicolas Le Roux 9 28 0 08 Jun 2019
99% of Distributed Optimization is a Waste of Time: The Issue and How to Fix it Konstantin Mishchenko Filip Hanzely Peter Richtárik 11 13 0 27 Jan 2019
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 127 1,198 0 16 Aug 2016